Domain and publish date filters for Web Search on AgentCore
Web Search on Amazon Bedrock AgentCore now offers per-request domain and publish-date filtering enforced server-side, and expands to two additional AWS regions.
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21 articles tagged with “search”.
5 new ways to level up your learning with Search
Google introduces five innovative Search tools to assist students in their studies and preparation for standardized exams.
Improve contract search accuracy with auto-generated filters in Amazon Bedrock
An AWS post explains how AIDA applies implicit and explicit filtering plus metadata-enriched chunking in Amazon Bedrock Knowledge Bases to improve contract search accuracy.
Perplexity’s free AI offer left it with millions more users in India
After Perplexity's free AI offer through Airtel ended for new users in India, its revenue in the country rose roughly 60% while downloads fell.
Spotify will label ‘AI Persona’ profiles and exclude their music from recommendations
Spotify plans to label artist profiles that represent AI-generated identities as 'AI Persona' and, by default, exclude their music from editorial, algorithmic, and personalized recommendations.
Airbnb says AI is helping it ship features faster as it tests a new search function
Airbnb reports that AI is helping it ship features more quickly, and the company is testing a new AI-powered search function accessible through a toggle.
Elon Musk’s attempt at an AI Wikipedia hasn’t been updated in months
A Lawfare report says xAI's AI-generated encyclopedia Grokipedia has not updated any entries in over three months, despite its ambitions to rival Wikipedia.
Shopify says AI search is driving more traffic and sales, not replacing Google
Shopify says AI search is boosting traffic and sales for its merchants rather than cannibalizing it, with AI-driven traffic and orders tripling year over year in Q2.
Introducing Web Search on Amazon Bedrock for foundation model grounding
Amazon Bedrock now offers Web Search as a generally available built-in tool, letting foundation models ground responses in current web knowledge without third-party vendors or external API orchestration.
Automated web insight extraction with Amazon Bedrock AgentCore
AWS details an automated pipeline that monitors RSS feeds, renders web pages, and makes AI-extracted insights searchable using Amazon Bedrock AgentCore and related services.
5 ways AI Mode in Search helps you enjoy the real world
Google describes five ways its AI Mode in Search can assist with offline activities, such as booking concert tickets and other real-world tasks.
You can’t ignore Google Zero anymore
A Vergecast episode discusses "Google Zero" — the fading of search traffic to websites — alongside Reddit's AI training deal and publishers considering blocking Google's crawlers.
Connect more of your apps to Search
Google says users will be able to securely connect and interact with their favorite apps and services directly in Search's AI Mode.
Google is renaming NotebookLM to Gemini Notebook
Google is rebranding NotebookLM as Gemini Notebook. The app remains standalone but will integrate more closely with Gemini and Google Search.
The Google Images homepage will recommend photos even before you search
Google is updating the Google Images homepage to display a real-time, personalized gallery of images before a user searches, marking the platform's 25th anniversary.
What Is a Vector Database, and When Do You Need One?
A vector database stores embeddings and finds the most similar ones fast. Here is what it actually does, how nearest-neighbor search works, and when you need one versus a simpler option.
How CLIP and Multimodal Search Work: One Space for Text and Images
Searching photos by typing a description, or matching an image to a caption, relies on one clever idea: putting text and images into the same mathematical space. Here is how CLIP made that work.
How to Design a RAG System (System Design, Explained)
Designing a RAG system is mostly a search problem with a language model bolted on the end. Here is how the pieces fit together in production — and the design choices that decide whether it works.
What Is RAG? Retrieval-Augmented Generation Explained Simply
RAG is the technique that lets a language model answer using your own documents instead of only what it memorized in training. Here is how it works and why almost every serious AI app uses it.
What Are Embeddings and Vector Search? A Plain-English Guide
Embeddings are how AI turns words into numbers that capture meaning — the quiet engine behind semantic search, recommendations, and RAG. Here is the concept without the math.
Perplexity: The AI Answer Engine Challenging Traditional Search
Perplexity answers questions with concise, cited summaries drawn from the live web — positioning itself between a search engine and a chatbot. Here is what it does and where it fits.